Virtual Reality Network Traffic Load Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems fail to accurately predict, measure, control, and simulate network traffic loads during application maintenance, data migration, and incorporation of new applications, leading to temporary network disruptions and inadequate load management.
Innovation Solution
A virtual reality-based network traffic load simulation system that monitors application activities, generates simulations based on contextual changes, and allows administrators to modify parameters and plan maintenance and migration timelines within a virtual reality visualization environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional network traffic measurement and control systems are used, then basic network monitoring is achieved, but accurate prediction and simulation of network traffic loads during maintenance and migration activities cannot be performed
Solution Approach 1:
The system performs preliminary simulation of network traffic loads before actual maintenance or migration activities. By modeling and simulating the expected traffic patterns in advance, administrators can identify potential network disruptions and plan mitigations beforehand, thereby improving both measurement accuracy and network reliability during actual maintenance events.
Solution Approach 2:
The patent creates a virtual copy of the network environment that replicates actual traffic patterns. This digital twin allows for accurate measurement and simulation of network loads without affecting the real network, enabling precise prediction of traffic behavior during maintenance while maintaining network stability.
2Productivity
If network maintenance and data migration activities are performed, then system updates and improvements are achieved, but temporary network disruptions occur
Solution Approach 1:
The system simulates network traffic loads in advance of maintenance activities to identify potential disruptions. This preliminary simulation allows administrators to schedule maintenance during optimal times and prepare mitigation strategies, thereby maintaining system maintenance efficiency while minimizing network continuity impacts.
Solution Approach 2:
The system continuously monitors actual network traffic during maintenance activities and compares it against the simulated baseline. This feedback mechanism allows for real-time detection of anomalies and enables dynamic adjustment of maintenance operations to minimize disruptions while maintaining productivity.
3Measurement precision
If comprehensive network traffic simulation is implemented, then accurate load prediction is achieved, but system complexity increases
Solution Approach 1:
The patent creates a simplified virtual model that copies essential traffic patterns rather than replicating the entire network infrastructure. This approach achieves accurate load prediction by focusing on critical traffic characteristics while avoiding the complexity of complete system replication.
Solution Approach 2:
The system uses parameter-based modeling to represent network traffic, allowing for accurate simulation through adjustment of key parameters such as traffic volume, patterns, and timing. This parameterized approach achieves precise prediction without requiring complex structural representations of the entire network.
Data Source
AI summary
A method, system, and computer program product for virtual reality-based network traffic load simulation are provided. The method monitors a set of activities for a set of applications. A network load simulation for the set of applications is generated based on the set of activities. A contextual change is identified for an application of the set of applications. The method generates a virtual reality visualization of the network load simulation based on the contextual change. A parameter change is detected from a user interaction within the virtual reality visualization of the network load simulation. The method dynamically modifies the network load simulation within the virtual reality visualization in response to the parameter change.